I would say python is enough for exploring ideas and staging. Most of the time will do just good in production. But many teams will end up porting python data science code to C/C++ or even write from scratch when python hits it is performance limits.
Productivity is not an issue for expert C/C++ developers. The challenge is to find those experts C/C++ developers.
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I would say python is enough for exploring ideas and staging. Most of the time will do just good in production. But many teams will end up porting python data science code to C/C++ or even write from scratch when python hits it is performance limits.
Productivity is not an issue for expert C/C++ developers. The challenge is to find those experts C/C++ developers.